Markus Brosch
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- RNA Research and Splicing
Papers in
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- Metabolomics and Mass Spectrometry Studies 2
- Identification and Quantification in Food 2
- Bioinformatics and Genomic Networks 1
- RNA and protein synthesis mechanisms 1
- Gene expression and cancer classification 1
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- Advanced Proteomics Techniques and Applications 5
- Mass Spectrometry Techniques and Applications 4
- Analytical Chemistry and Chromatography 1
- Co-authors
- Jyoti S. Choudhary (5 shared papers)Tim Hubbard (3 shared papers)Lu Yu (3 shared papers)Pierre Mazière (1 shared paper)Tom C. Freeman (1 shared paper)Janet M. Thornton (1 shared paper)Anton J. Enright (1 shared paper)Stijn van Dongen (1 shared paper)
- Journals
- Molecular & Cellular Proteomics (2 papers)Genome Research (1 paper)PLoS Computational Biology (1 paper)Journal of Proteome Research (1 paper)Methods in molecular biology (1 paper)
- Partner nations
- United KingdomSweden
In The Last Decade
Markus Brosch
6 papers receiving 698 citations
Peers
Comparison fields: 5 of 96
- Spectroscopy 209
- Molecular Biology 521
- Aging 6
- Immunology 62
- Cancer Research 42
Countries citing papers authored by Markus Brosch
This map shows the geographic impact of Markus Brosch's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Markus Brosch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Brosch more than expected).
Fields of papers citing papers by Markus Brosch
This network shows the impact of papers produced by Markus Brosch. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Markus Brosch. The network helps show where Markus Brosch may publish in the future.
Co-authors
The 19 scholars most cited alongside Markus Brosch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 336 | |
| 2 | 2007 | 176 | |
| 3 | 2011 | 101 | |
| 4 | 2008 | 52 | |
| 5 | 2012 | 35 | |
| 6 | 2009 | 6 |
About Markus Brosch
Markus Brosch is a scholar working on Molecular Biology, Spectroscopy, Infectious Diseases, Organic Chemistry and Surgery, having authored 6 papers that have together received 706 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Mass Spectrometry Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Identification and Quantification in Food (2 papers), Bioinformatics and Genomic Networks (1 paper), RNA and protein synthesis mechanisms (1 paper), Analytical Chemistry and Chromatography (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Spectroscopy (209 citations), Molecular Biology (521 citations), Aging (6 citations), Immunology (62 citations) and Cancer Research (42 citations). Markus Brosch has collaborated with scholars based in United Kingdom and Sweden. Frequent co-authors include Jyoti S. Choudhary, Tim Hubbard, Lu Yu, Pierre Mazière, Tom C. Freeman, Janet M. Thornton, Anton J. Enright, Stijn van Dongen, Shiri Freilich and Russell Grocock. Their work appears in journals such as Molecular & Cellular Proteomics, Genome Research, PLoS Computational Biology, Journal of Proteome Research and Methods in molecular biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.